157,376 research outputs found
Near-capacity iterative decoding of binary self-concatenated codes using soft decision demapping and 3-D EXIT charts
No full textIn this paper 3-D Extrinsic Information Transfer (EXIT) charts are used to design binary Self-Concatenated Convolutional Codes employing Iterative Decoding (SECCC-ID), exchanging extrinsic information with the soft-decision demapper to approach the channel capacity. Recursive Systematic Convolutional (RSC) codes are selected as constituent codes, an interleaver is used for randomising the extrinsic information exchange of the constituent codes, while a puncturer helps to increase the achievable bandwidth efficiency. The convergence behaviour of the decoder is analysed with the aid of bit-based 3-D EXIT charts, for accurately calculating the operating EbN0 threshold, especially when SP based soft demapper is employed. Finally, we propose an attractive system configuration, which is capable of operating within about 1 dB from the channel capacity
Near-capacity code design for entanglement-assisted classical communication over quantum depolarizing channels
No full textWe have conceived a near-capacity code design for entanglement-assisted classical communication over the quantum depolarizing channel. The proposed system relies on efficient near-capacity classical code designs for approaching the entanglement-assisted classical capacity of a quantum depolarizing channel. It incorporates an Irregular Convolutional Code (IRCC), a Unity Rate Code (URC) and a soft-decision aided Superdense Code (SD), which is hence referred to as an IRCC-URC-SD arrangement. Furthermore, the entanglement-assisted classical capacity of an N-qubit superdense code transmitted over a depolarizing channel is invoked for benchmarking. It is demonstrated that the proposed system operates within 0.4 dB of the achievable noise limit for both 2-qubit as well as 3-qubit SD schemes. More specifically, our design exhibits a deviation of only 0.062 and 0.031 classical bits per channel use from the corresponding 2-qubit and 3-qubit capacity limits, respectively. The proposed system is also benchmarked against the classical convolutional and turbo codes
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Dypsis procera (soon to be D. longipes) (Cultivated)
No full textDypsis procera (soon to be D. longipes), colorful stem. Family Arecaceae, Subclass Arecidae. Origin: Cultivated
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Kim Hwa Soon
No full text학위논문(석사)--아주대학교 일반대학원 :간호학과,2009. 2Ⅰ. 서론
A. 연구의 필요성 ----1
B. 연구목적 ---- ----3
C. 용어정의-------4
Ⅱ. 문헌고찰 ------5
Ⅲ. 연구방법
A. 연구설계 ----10
B. 연구대상 ----10
C. 연구도구 -----------10
D. 자료수집 방법 및 절차 -----------11
E. 윤리적 고려사항 ----------12
F. 자료분석 방법 -----------12
G. 연구의 제한점 -----------13
Ⅳ. 연구결과
A. 연구 대상자의 일반적 특성 --------14
B. 연구 대상자의 요로감염 관리에 대한 지식정도 ---15
C. 연구 대상자의 요로감염 관리에 대한 실천정도---18
D. 요로감염 관리의 지식과 실천정도와의 관계 -----21
E. 일반적 특성에 따른 요로감염 관리에 대한 지식과
실천정도------22
Ⅴ. 논의 ----------24
Ⅵ. 결론 및 제언 -------32
참고문헌------34
부 록 -----39
ABSTRACT------45Maste
Fabrication Process and Magnetostriction of Infiltrated Terfenol-D/Epoxy Composite
No full textGiant magnetostrictive composites have attracted a great deal of attention by supplementing shortcomings of monolithic Terfenol-D such as brittleness, eddy current loss and formability. Recently, infiltrated Terfenol-D/Epoxy composite has been developed as an alternative composite. This composite was fabricated by an unidirectional solidification of Terfenol-D followed by an infiltration of epoxy. The iron content in composite has been changed in order to control volume fraction of RFe2 phase producing magnetostriction on Terfenol-D/Epoxy composite. The magnetostriction of both as-grown and infiltrated Terfenol-D/Epoxy composite was measured to confirm the effects of eutectic phase and heat treatment on magnetostriction. The enhancement of magnetostriction of Terfenol-D/Epoxy composite was mostly contributed by the eutectic phase through the hindering of movement and rotation of domain walls. The magnetostriction modelling of Terfenol-D/Epoxy composite was suggested, based on the change of texture and elastic modulus. The suggested model was in good agreements with the experimental results on the measurement of magnetostriction of Terfenol-D/Epoxy composite
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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